When to Use

Generating embeddings inside Cypher without external Python (ai.text.embed())
Batch-embedding nodes/chunks during ingestion (ai.text.embedBatch())
Calling LLMs directly in Cypher for completions or GraphRAG (ai.text.completion())
Extracting structured JSON maps from LLM inside Cypher (ai.text.structuredCompletion())
Aggregating LLM summaries over grouped rows (ai.text.aggregateCompletion())
Stateful chat sessions in Cypher (ai.text.chat())
Counting tokens or chunking text by token limit (ai.text.tokenCount(), ai.text.chunkByTokenLimit())

When NOT to Use

Python-based GraphRAG pipelines (VectorCypherRetriever, HybridCypherRetriever) → neo4j-graphrag-skill
Vector index CREATE / kNN search / SEARCH clause → neo4j-vector-index-skill
GDS embeddings (FastRP, Node2Vec) → neo4j-gds-skill
Fulltext / keyword search → neo4j-cypher-skill